IRI - Agrixel. AI-based service standard for agricultural data in agri-food use cases

Publication

Agrixel. AI-based service standard for agricultural data in agri-food use cases

Conference Article

Conference

Catalan Conference on Artificial Intelligence (CCIA)

Edition

27th

Pages

163-172

Doc link

http://dx.doi.org/10.3233/FAIA250589

File

Download the digital copy of the doc pdf document

Authors

van Eeckhout, Joan
Dimic, Miona
Angulo Bahon, Cecilio

Abstract

We introduce a new interoperable geographic standard called agrixel, which employs a unique and innovative data processing methodology—similar to pixels in computer vision or tokens in language processing—leveraging computational power and machine learning in shared data spaces. Focused on AI-driven services for the agri-food sector and founded in a defined ontology, it offers a service portfolio for the sector itself, its externalities, and the circularity of its products. The agrixel standard ensures findable, accessible, interoperable, and reusable (FAIR) data, compatible with existing solutions. It supports multiple data layers, enabling extensions to externalities, such as carbon footprint, energy use, water management, logistics, and transport—enhancing efficiency in agri-food production and consumption.

Scientific reference

J. van Eeckhout, M. Dimic and C. Angulo. Agrixel. AI-based service standard for agricultural data in agri-food use cases, 27th Catalan Conference on Artificial Intelligence, 2025, Valls, Vol 410 of Frontiers in Artificial Intelligence and Applications, pp. 163-172, IOS Press.